Hasan Kurban
Orcid: 0000-0003-3142-2866
According to our database1,
Hasan Kurban authored at least 52 papers
between 2014 and 2026.
Collaborative distances:
Collaborative distances:
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Bibliography
2026
Multilingual Prompt Localization for Agent-as-a-Judge: Language and Backbone Sensitivity in Requirement-Level Evaluation.
CoRR, April, 2026
IRIS: A Real-World Benchmark for Inverse Recovery and Identification of Physical Dynamic Systems from Monocular Video.
CoRR, March, 2026
4D Synchronized Fields: Motion-Language Gaussian Splatting for Temporal Scene Understanding.
CoRR, March, 2026
Joint Sensor Deployment and Physics-Informed Graph Transformer for Smart Grid Attack Detection.
CoRR, March, 2026
Mach. Learn., February, 2026
CoRR, February, 2026
CoRR, February, 2026
How Far Can You Grow? Characterizing the Extrapolation Frontier of Graph Generative Models for Materials Science.
CoRR, February, 2026
CoRR, February, 2026
SCALAR: Quantifying Structural Hallucination, Consistency, and Reasoning Gaps in Materials Foundation Models.
CoRR, January, 2026
C2NP: A Benchmark for Learning Scale-Dependent Geometric Invariances in 3D Materials Generation.
CoRR, January, 2026
IEEE Open J. Comput. Soc., 2026
2025
CoRR, December, 2025
Temporal Realism Evaluation of Generated Videos Using Compressed-Domain Motion Vectors.
CoRR, November, 2025
p-clustval: a novel p-adic approach for enhanced clustering of high-dimensional single-cell RNASeq data.
Int. J. Data Sci. Anal., October, 2025
Audit-of-Understanding: Posterior-Constrained Inference for Mathematical Reasoning in Language Models.
CoRR, October, 2025
Evaluating Multilingual and Code-Switched Alignment in LLMs via Synthetic Natural Language Inference.
CoRR, August, 2025
CoRR, August, 2025
CoRR, August, 2025
CoRR, June, 2025
Theorem-of-Thought: A Multi-Agent Framework for Abductive, Deductive, and Inductive Reasoning in Language Models.
CoRR, June, 2025
Beyond Atomic Geometry Representations in Materials Science: A Human-in-the-Loop Multimodal Framework.
CoRR, June, 2025
Multivariate de Bruijn Graphs: A Symbolic Graph Framework for Time Series Forecasting.
CoRR, May, 2025
Understanding the Capabilities of Molecular Graph Neural Networks in Materials Science Through Multimodal Learning and Physical Context Encoding.
CoRR, May, 2025
CoRR, April, 2025
A Noise-Adaptive Machine Learning Framework for Optimizing User Grouping in Dynamic IM-OFDMA Systems.
IEEE Trans. Commun., March, 2025
CoRR, March, 2025
Deep Temporal and Structural Embeddings for Robust Unsupervised Anomaly Detection in Dynamic Graphs.
IEEE Open J. Comput. Soc., 2025
CrysMTM: a multiphase, temperature-resolved, multimodal dataset for crystalline materials.
Mach. Learn. Sci. Technol., 2025
A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet.
IEEE Access, 2025
Decentralized N-1 Contingency Analysis for Cascading Failure Prediction in Multi-Region Power Systems using Consortium Blockchain.
Proceedings of the 2025 5th International Conference on Electrical, 2025
SAFE: A Sparse Autoencoder-Based Framework for Robust Query Enrichment and Hallucination Mitigation in LLMs.
Proceedings of the Findings of the Association for Computational Linguistics: EMNLP 2025, 2025
Proceedings of the Engineering Applications of Neural Networks, 2025
2024
Multimodal neural network-based predictive modeling of nanoparticle properties from pure compounds.
Mach. Learn. Sci. Technol., 2024
Mach. Learn. Sci. Technol., 2024
$p$-ClustVal: A Novel $p$-Adic Approach for Enhanced Clustering of High-Dimensional scRNASeq Data (Extended Abstract).
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
A Novel Discrete Time Series Representation with De Bruijn Graphs for Enhanced Forecasting Using TimesNet (Extended Abstract).
Proceedings of the 11th IEEE International Conference on Data Science and Advanced Analytics, 2024
2023
Proceedings of the Machine Learning and Data Mining for Sports Analytics, 2023
Novel NBA Fantasy League driven by Engineered Team Chemistry and Scaled Position Statistics.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
DCEM: An R package for clustering big data via data-centric modification of Expectation Maximization.
SoftwareX, 2022
ccImpute: an accurate and scalable consensus clustering based algorithm to impute dropout events in the single-cell RNA-seq data.
BMC Bioinform., 2022
2018
Proceedings of the 5th IEEE International Conference on Data Science and Advanced Analytics, 2018
2017
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
A novel approach to optimization of iterative machine learning algorithms: Over heap structure.
Proceedings of the 2017 IEEE International Conference on Big Data (IEEE BigData 2017), 2017
Proceedings of the Fourth IEEE/ACM International Conference on Big Data Computing, 2017
2016
Proceedings of the 2016 IEEE International Conference on Data Science and Advanced Analytics, 2016
2015
Red-RF: Reduced Random Forest for Big Data Using Priority Voting & Dynamic Data Reduction.
Proceedings of the 2015 IEEE International Congress on Big Data, New York City, NY, USA, June 27, 2015
2014
A new set of Random Forests with varying dynamic data reduction and voting techniques.
Proceedings of the International Conference on Data Science and Advanced Analytics, 2014